Best AI Data Analytics Tools for Google Cloud Platform

Compare the Top AI Data Analytics Tools that integrate with Google Cloud Platform as of August 2025

This a list of AI Data Analytics tools that integrate with Google Cloud Platform. Use the filters on the left to add additional filters for products that have integrations with Google Cloud Platform. View the products that work with Google Cloud Platform in the table below.

What are AI Data Analytics Tools for Google Cloud Platform?

AI data analytics tools are AI-powered software tools designed to analyze large datasets and identify patterns. They can be used for a wide range of tasks such as predicting customer demand, detecting fraud, or spotting trends in sales data.These tools typically use machine learning algorithms that enable them to adjust their predictions and recommendations over time.They also tend to be integrated with common business systems such as ERP or CRM software. Compare and read user reviews of the best AI Data Analytics tools for Google Cloud Platform currently available using the table below. This list is updated regularly.

  • 1
    Google Cloud BigQuery
    Google Cloud BigQuery integrates seamlessly with AI and machine learning tools to perform data analytics on vast datasets. By offering advanced capabilities for building and running machine learning models directly within the platform, users can take full advantage of Google’s AI services. It allows businesses to leverage data for predictive analytics, enabling smarter decision-making processes. New customers get $300 in free credits to explore BigQuery’s AI-driven features, which can help them unlock valuable insights without any upfront costs, making it easy to experiment with machine learning models and data exploration. This integration positions BigQuery as a powerful tool for organizations looking to harness AI for data-driven innovation and growth.
    Starting Price: Free ($300 in free credits)
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  • 2
    DataBuck

    DataBuck

    FirstEigen

    DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world.
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  • 3
    Looker

    Looker

    Google

    Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation. Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.
  • 4
    Deepnote

    Deepnote

    Deepnote

    Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone. Features: - Sharing notebooks and projects via URL - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connection
    Starting Price: Free
  • 5
    Prophecy

    Prophecy

    Prophecy

    Prophecy enables many more users - including visual ETL developers and Data Analysts. All you need to do is point-and-click and write a few SQL expressions to create your pipelines. As you use the Low-Code designer to build your workflows - you are developing high quality, readable code for Spark and Airflow that is committed to your Git. Prophecy gives you a gem builder - for you to quickly develop and rollout your own Frameworks. Examples are Data Quality, Encryption, new Sources and Targets that extend the built-in ones. Prophecy provides best practices and infrastructure as managed services – making your life and operations simple! With Prophecy, your workflows are high performance and use scale-out performance & scalability of the cloud.
    Starting Price: $299 per month
  • 6
    PandaAI

    PandaAI

    PandaAI

    ​PandaAI is an AI-driven platform that transforms natural language queries into actionable data insights, streamlining the data analysis process. It allows users to connect databases effortlessly, enabling instant report generation through agentic AI and text-to-SQL layers. Users can interact with their data using conversational AI, facilitating intuitive, human-like queries. It also supports team collaboration by allowing users to save responses as data snippets and share them with colleagues. To get started, users can install the pandasai Python library, set up their API key, load their datasets, and push them to the platform for analysis.
    Starting Price: €20 per month
  • 7
    Aretec

    Aretec

    Aretec

    Empowering informed choices, uncovering opportunities, and gaining a competitive edge through our state-of-the-art data and analytics solutions in a data-driven landscape Unlock business growth through our data science and AI proficiency. We leverage machine learning, algorithms, and statistics for informed, data-driven decision-making. Turn your concepts into tangible solutions through our customized web and mobile app development. We breathe life into your vision. We lead in cybersecurity, embedding analytics at the heart of defense. Our expertise lies in automated monitoring, detection, and responsive security solutions, safeguarding your digital assets comprehensively. Realize the cloud's potential with our custom solutions, offering seamless integration, scalability, and security to fast-track your digital transformation and foster innovation. We're trailblazers in advancing digital assets and blockchain, empowering businesses to confidently adopt the future of capital markets.
  • 8
    DataChain

    DataChain

    iterative.ai

    DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.
    Starting Price: Free
  • 9
    FeatureByte

    FeatureByte

    FeatureByte

    FeatureByte is your AI data scientist streamlining the entire lifecycle so that what once took months now happens in hours. Deployed natively on Databricks, Snowflake, BigQuery, or Spark, it automates feature engineering, ideation, cataloging, custom UDFs (including transformer support), evaluation, selection, historical backfill, deployment, and serving (online or batch), all within a unified platform. FeatureByte’s GenAI‑inspired agents, data, domain, MLOps, and data science agents interactively guide teams through data acquisition, quality, feature generation, model creation, deployment orchestration, and continued monitoring. FeatureByte’s SDK and intuitive UI enable automated and semi‑automated feature ideation, customizable pipelines, cataloging, lineage tracking, approval flows, RBAC, alerts, and version control, empowering teams to build, refine, document, and serve features rapidly and reliably.
  • 10
    Databricks Data Intelligence Platform
    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
  • 11
    Definitive

    Definitive

    Definitive

    A one-shot prompt-to-visualization API that seamlessly integrates with enterprise & public data, enabling users to instantly & accurately retrieve visually rich answers to their questions. Enables enterprises to engage in dynamic conversations with their own data, fostering efficient collaboration and informed decision-making. Supports Python code generation and joining of disparate data sets. An autonomous data science agent, providing comprehensive support in data analysis, predictive modeling, and advanced analytics. Create the enterprise AI sidekick experience that works best for your organization. Public LLMs are not currently trained on an enterprise's unique, proprietary data sets. Your sidekick unlocks workplace productivity. A more engaging interface for complex analysis is now accessible to all members of the organization, regardless of technical ability. Through API-level access, your sidekick integrates with your existing products, systems, and workflows.
  • 12
    Fluent

    Fluent

    Fluent

    Self-serve your company's data insights with AI. Fluent is your AI data analyst, it helps you explore your data and uncover the questions you should be asking. No complicated UI and no learning curve; just type in your question and Fluent will do the rest. Fluent works with you to clarify your question, so you can get the insight you need. With Fluent, you can uncover the questions you should be asking to get more out of your data. Fluent lets you build a shared understanding of your data, with real-time collaboration and a shared data dictionary. No more silos, no more confusion, and no more disagreements on how to define revenue. Fluent integrates with Slack and Teams, so you can get data insights without leaving your chat. Fluent gives verifiable output with a visual display of the exact SQL journey and AI logic for each query. Curate tailored datasets with clear usage guidelines and quality control, enhancing data integrity and access management.
  • 13
    Algoreus

    Algoreus

    Turium AI

    All your data needs are delivered in one powerful platform. From data ingestion/integration, transformation, and storage to knowledge catalog, graph networks, data analytics, governance, monitoring, and, sharing. ​ An AI/ML platform that lets enterprises, train, test, troubleshoot, deploy, and govern models at scale to boost productivity while maintaining model performance in production with confidence. A dedicated solution for training models with minimal effort through AutoML or training your case-specific models from scratch with CustomML. Giving you the power to connect essential logic from ML with data. An integrated exploration of possible actions.​ Integration with your protocols and authorization models​. Propagation by default; extreme configurability at your service​. Leverage internal lineage system, for alerting and impact analysis​. Interwoven with the security paradigm; provides immutable tracking​.
  • 14
    Observo AI

    Observo AI

    Observo AI

    ​Observo AI is an AI-native data pipeline platform designed to address the challenges of managing vast amounts of telemetry data in security and DevOps operations. By leveraging machine learning and agentic AI, Observo AI automates data optimization, enabling enterprises to process AI-generated data more efficiently, securely, and cost-effectively. It reduces data processing costs by over 50% and accelerates incident response times by more than 40%. Observo AI's features include intelligent data deduplication and compression, real-time anomaly detection, and dynamic data routing to appropriate storage or analysis tools. It also enriches data streams with contextual information to enhance threat detection accuracy while minimizing false positives. Observo AI offers a searchable cloud data lake for efficient data storage and retrieval.
  • 15
    Zinzu

    Zinzu

    Zinzu

    Zinzu is a cloud-based, no-code data analytics platform designed to help organizations uncover hidden patterns in sequential data through a user-friendly drag-and-drop interface. By treating each data record as an event in a timeline, Zinzu enables businesses to analyze complex sequences without the need for complex queries. The platform integrates seamlessly with major cloud providers, allowing users to connect directly to their existing data sources without the need for data migration. Zinzu's AI-powered query engine supports natural language processing, enabling users to express data queries in everyday language. It operates on a pay-as-you-go model, ensuring flexibility and cost-efficiency. Zinzu is particularly beneficial for applications such as tracking campaign performance, monitoring customer journeys, detecting fraud, and optimizing supply chains.
  • 16
    impaction.ai
    Discover. Analyze. Optimize. Use [impaction.ai]'s intuitive semantic search to effortlessly sift through conversational data. Just type 'find me conversations where...' and let our engine do the rest. Meet Columbus, your intelligent data co-pilot. Columbus analyzes conversations, highlights key trends, and even recommends which dialogues deserve your attention. Armed with these insights, take data-driven actions to enhance user engagement and build a smarter, more responsive AI product. Columbus not only tells you what's happening but also suggests how to make it better.
  • 17
    Align AI

    Align AI

    Coxwave

    Discover. Analyze. Optimize. Use Align AI's intuitive semantic search to effortlessly sift through conversational data. Just type 'find me conversations where...' and let our engine do the rest. Meet Columbus, your intelligent data co-pilot. Columbus analyzes conversations, highlights key trends, and even recommends which dialogues deserve your attention. Armed with these insights, take data-driven actions to enhance user engagement and build a smarter, more responsive AI product. Columbus not only tells you what's happening but also suggests how to make it better.
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